Top Analytics Jobs in St. Louis, MO

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.

As a Senior Analytics Engineer, you will lead the development of analytics pipelines, ensure data quality, and collaborate with cross-functional teams to improve data workflows and reliability.

Manage end-to-end analytics projects, lead cross-functional teams, ensure client satisfaction, and utilize AI tools to enhance data insights.

The Senior Analyst in People Analytics will design and manage dashboards, analyze HR datasets, and leverage AI tools for data-driven insights, while collaborating with various teams to enhance people strategies.

The Strategy and Analytics Associate conducts analyses, creates presentations, collaborates with clients and sales teams, and enhances partner relationships to drive value in identity verification services.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

The Performance Specialist analyzes marketing performance using Adobe analytics, focusing on Customer Journey Analytics, to provide insights and optimization strategies.

The role involves architecting data solutions, building data products in Snowflake, establishing data standards, and enabling self-service data access while ensuring data quality and compliance.

Design and enhance data management and analytics functions, build data assets, establish engineering standards, and enable self-service data access for analytics at Danaher.

Support client-facing performance measurement and reporting: calculate and validate outcomes, maintain dashboards and metrics, automate repeatable workflows, improve metric governance, and translate results into clear insights for internal and external stakeholders.

Lead centralization of performance data, define KPI standards, build scalable data infrastructure and executive dashboards (Looker), deliver cross-functional performance insights, forecasting, and predictive models to drive margin, LTV, and capital allocation decisions.

Lead end-to-end web and mobile analytics: design and implement tagging strategies, ensure data quality, build data pipelines and dashboards, analyze user behavior, and provide actionable insights to Product, Marketing, and Engineering stakeholders.